Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams

The world's fastest CLI for OpenAI's Whisper, transcribing 150 minutes of audio in under 98 seconds.
insanely-fast-whisper is a specialized CLI and Python wrapper designed to maximize the performance of OpenAI's Whisper models using the Hugging Face Transformers ecosystem. As of 2026, it remains the industry standard for high-throughput, localized audio transcription. The architecture leverages Flash Attention-2 and Optimum-based optimizations to parallelize transcription tasks, effectively removing the sequential bottlenecks found in standard implementations. It is specifically engineered for NVIDIA GPUs with Ampere architecture (A10, A100) or newer (H100, B200), utilizing half-precision (float16) and sophisticated batching strategies to achieve transcription speeds exceeding 30x real-time. By utilizing the Transformers 'pipeline' abstraction, it allows for seamless integration of speaker diarization via pyannote-audio and supports speculative decoding to further reduce latency. In the 2026 market, it serves as the foundational utility for developers who require enterprise-grade transcription speed without the data privacy risks or recurring costs associated with proprietary SaaS APIs like Deepgram or AssemblyAI.
Implements IO-aware exact attention to speed up the self-attention mechanism in the Whisper transformer blocks.
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The Intelligence Layer for Global Financial and Professional Services Data.
AI-Powered Video Localization and Dynamic Captioning for Global Scale
The privacy-first AI meeting assistant that delivers executive-grade summaries without intrusive meeting bots.
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Uses a smaller 'assistant' model (Whisper-tiny) to predict candidate tokens, which the 'target' model (Whisper-large) then verifies.
Integrates with pyannote.audio to identify 'who spoke when' in multi-speaker environments.
Utilizes Hugging Face's pipeline batching to process multiple audio chunks concurrently on the GPU.
Extracts alignment data from the attention heads to provide millisecond-accurate word timing.
Supports 4-bit and 8-bit quantization via bitsandbytes to run large models on consumer hardware.
Identifies the spoken language in the first 30 seconds of audio and routes to the correct decoder head.
Manual subtitling for a 2-hour documentary takes days.
Registry Updated:2/7/2026
Confidentiality requirements prevent the use of cloud-based APIs.
A network needs to index 5,000 past episodes for SEO.